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Paper Citation Record · LEDGER

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs

As of 18 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 1 inbound Pith citation observation for arXiv:2507.21193.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.21193 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:47:16.705449Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:34:16.763747Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

90 of 90 outbound references displayed

  • verified exact2
  • verified fuzzy64
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74c590bd-8b83-4fa1-a86e-25663ae89d80 · outbound

This paper cites O-RAN White Paper: Towards an Open and Smart RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN White Paper: Towards an Open and Smart RAN,

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:15.926061Z digest=sha256:e10931ef553507d5aa9fb62c170cb2cbd1dffdff5865c7ca438cc732f385e90b

Observation cc6fbd61-0078-487f-8271-abfd7a3f61ee · outbound

This paper cites Under- standing O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Under- standing O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges,

Reference 2

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source=pdf_text observed=2026-08-15T17:47:15.935377Z digest=sha256:9244b7cea407b8542f3510337fbeb118c3307bc2c4de787dc7e6afef03969c37

Observation 93cc4d74-d72b-486c-b63e-dfc08542cb1c · outbound

This paper cites RIC: A RAN Intelligent Controller Platform for AI-Enabled Cellular Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs RIC: A RAN Intelligent Controller Platform for AI-Enabled Cellular Networks,

Reference 3

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source=pdf_text observed=2026-08-15T17:47:15.942357Z digest=sha256:50d4f6524a3be9b4233423424647518cf63da6b1b0dbb0f08eebcef6340dfe88

Observation 9d270070-5e42-4df7-bc90-3d3831b99704 · outbound

This paper cites Intelligent Control in 6G Open RAN: Security Risk or Opportunity?.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intelligent Control in 6G Open RAN: Security Risk or Opportunity?

Reference 4

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source=pdf_text observed=2026-08-15T17:47:15.949041Z digest=sha256:9d68cbad42d09d78647d3b2d1e034f0ff65f39e7abbdaa9ca648686ec8671e89

Observation 075c7b29-e9cd-41b4-99d5-df1e01cc01af · outbound

This paper cites Slice- dRAN: Service-Aware Network Slicing Framework for 5G Radio Access Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Slice- dRAN: Service-Aware Network Slicing Framework for 5G Radio Access Networks,

Reference 5

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source=pdf_text observed=2026-08-15T17:47:15.956361Z digest=sha256:1ba54f4cff478610c5f12fdc6b3cd991cb03a7eb736d6e2ad3d2df4fd1836116

Observation e1a68623-5dfb-4678-893a-309faf50229b · outbound

This paper cites Defining Intent-Based Service Management Automation for 6G Multi-Stakeholders Scenarios,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Defining Intent-Based Service Management Automation for 6G Multi-Stakeholders Scenarios,

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:47:15.964278Z digest=sha256:59340543580ebf03088dd4a0c7f7b41afd9c574d4f32668962595229bae6fa8f

Observation 032d17be-fc35-40a2-a9b5-01fb742a3349 · outbound

This paper cites AI-RAN Alliance Vision and Mission White Paper,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs AI-RAN Alliance Vision and Mission White Paper,

Reference 7

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source=pdf_text observed=2026-08-15T17:47:15.970577Z digest=sha256:413db09830a3d6b58ffe38c7878772c262d9bc3b11898904b040daa9e88694d3

Observation 859939c0-e086-4b04-9fa7-68a6fdb8153e · outbound

This paper cites AI-RAN: Transforming RAN with AI-driven Computing Infrastructure.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs AI-RAN: Transforming RAN with AI-driven Computing Infrastructure

Reference 8

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source=pdf_text observed=2026-08-15T17:47:15.976235Z digest=sha256:be61a208eeb670ce11e2b111b86f0166368c019a02726b48ba542cec2c862be4

Observation 20a93c4a-2e7d-42bc-94ad-bc64ec505852 · outbound

This paper cites Toward 6G Security: Technology Trends, Threats, and Solutions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Toward 6G Security: Technology Trends, Threats, and Solutions,

Reference 9

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source=pdf_text observed=2026-08-15T17:47:15.981982Z digest=sha256:9bb2a12d53d600305b78bf53f5562f326b2e29c4821e5b591f4a77f702108f3f

Observation 37352639-f512-47ed-bcd5-a35413bcd038 · outbound

This paper cites A Systematic Analysis of 5G Networks With a Focus on 5G Core Security,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Systematic Analysis of 5G Networks With a Focus on 5G Core Security,

Reference 10

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source=pdf_text observed=2026-08-15T17:47:15.987674Z digest=sha256:282d35829bc50c2ef97aefc46953ad2a84860a59422d11cec3bab32c9b77f85f

Observation 3f379a06-5f0e-4e83-9f45-15ba67b82c77 · outbound

This paper cites O-RAN WG3 E2 Service Model (E2SM) KPM Specification,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN WG3 E2 Service Model (E2SM) KPM Specification,

Reference 11

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source=pdf_text observed=2026-08-15T17:47:15.994652Z digest=sha256:0a9bf2dacc2017ecc81b17e86be432d6ce6e3a41e934b72b622d4be980141f8d

Observation 5dc2a5c0-db20-4687-859c-89907c0a191d · outbound

This paper cites O-RAN WG3 E2 General Aspects and Principles (E2GAP),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN WG3 E2 General Aspects and Principles (E2GAP),

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.002043Z digest=sha256:d1812c97a1618482488e909ec9beb829e127b36f5cd0bf33763ae687fe86196b

Observation b07d65c6-e606-4292-91c4-507d864a255f · outbound

This paper cites O-RAN WG3 E2 Application Protocol (E2AP),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs O-RAN WG3 E2 Application Protocol (E2AP),

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.007156Z digest=sha256:8c3a7faa9b7636a5be32ce94acafd75f604770c3dd85a8b1ef873b45af3e4cf3

Observation 27f8a35c-6899-4cc6-85b8-a48fc157d622 · outbound

This paper cites Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities,

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.012282Z digest=sha256:81df881897e9105300bbe9c6c845dc5a11c5fbb4bed8e4c322d48e82859c53c0

Observation 6356c0ee-23d9-437b-ba87-1e421eacc983 · outbound

This paper cites A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection,

Reference 15

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.017926Z digest=sha256:688bd8e3a80a719c1c03d40f6cdcb4f443f54bd86c62b0c044425b10f2ab4171

Observation 0c7043c2-1561-489f-8d2d-204ba0eacf92 · outbound

This paper cites NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs NetGPT: An AI-Native Network Architecture for Provisioning Beyond Personalized Generative Services,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.022397Z digest=sha256:1b08e19f1a2d1b3c359c1f795fb3fe4054e42a7803e866c553c8c40c2f779ff7

Observation 42741802-a1cc-4961-aa39-c8087098edb8 · outbound

This paper cites S-RAN: Semantic-aware radio access networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs S-RAN: Semantic-aware radio access networks,

Reference 17

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source=pdf_text observed=2026-08-15T17:47:16.027043Z digest=sha256:591d88fe5338dc5b73b6c62c20864c301e1450c3fe6eb4724ba814a12489b9db

Observation 0753ef85-3921-42b8-b7d3-52a86a0ed298 · outbound

This paper cites Generative AI-driven semantic communication networks: Architecture, technologies, and applications,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Generative AI-driven semantic communication networks: Architecture, technologies, and applications,

Reference 18

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.033013Z digest=sha256:472233e6645fd360186def405051229b64d10c79af9aa4902fc0068d5eb3d36e

Observation 8ae86b59-4828-407a-8ffa-513fb18e8654 · outbound

This paper cites A Collaborative Software Defined Network-Based Smart Grid Intrusion Detection System,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Collaborative Software Defined Network-Based Smart Grid Intrusion Detection System,

Reference 19

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.040718Z digest=sha256:02c86831a1829d64889f9addd2d9cab48bf822b5e4ea2adc8b08b3f918ea02aa

Observation af7fec88-a12f-4547-be2d-679e7205ff93 · outbound

This paper cites Intrusion Detection in Software Defined Networks with Imbalanced Attack Classes,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intrusion Detection in Software Defined Networks with Imbalanced Attack Classes,

Reference 20

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.045508Z digest=sha256:314e9b63089a99a7dd71e0d5028278cb667afc72effe1874d3c105ab0be7b314

Observation 57cd6b94-abb1-4d5e-a6d6-0dc018348dce · outbound

This paper cites SD-IIDS: Intelligent Intrusion Detection System for Software-Defined Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs SD-IIDS: Intelligent Intrusion Detection System for Software-Defined Networks,

Reference 21

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.050416Z digest=sha256:a42c89a238c5306e5f33d7a667dc7c7f724a8c13a5c59c300b38e4bbdae1a0d6

Observation 4b9467bf-0815-46f8-ad0b-bca9f3c32c05 · outbound

This paper cites Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS,

Reference 22

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.055273Z digest=sha256:1d8c355b0aff21a90e8b2c5a48128f3f48b23172213c748d8a07d5fe65175d71

Observation edcd9045-bd2e-406b-a310-3b39a160bf5c · outbound

This paper cites Anomaly based Network Intrusion Detection for IoT Attacks Using Deep Learning Technique,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Anomaly based Network Intrusion Detection for IoT Attacks Using Deep Learning Technique,

Reference 23

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.060891Z digest=sha256:5cd985689a8ed53db5e520ea57981034322325ba92afce80814d7c771567a7ec

Observation e6a151cd-65eb-42fa-ab62-44770d9d9892 · outbound

This paper cites Enhancing IoT security with CNN and LSTM-based intrusion detection systems,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Enhancing IoT security with CNN and LSTM-based intrusion detection systems,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.069072Z digest=sha256:547f388e0fdc566fa37d8c5243eae2a7436f59c6f5fd51ee2dfdf3e371b95f8d

Observation 4a5a23fb-f4f4-479a-9f62-942ea6c00098 · outbound

This paper cites LH-IDS: Lightweight Hybrid Intrusion Detection System Based on Differential Privacy in V ANETs,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs LH-IDS: Lightweight Hybrid Intrusion Detection System Based on Differential Privacy in V ANETs,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.074788Z digest=sha256:03322669c0b6943aa169cebbc6666406fa5f9787c2a4c4f9254433d826ea0227

Observation c96e6b7c-9a05-4872-bc61-1b8fff7a8aac · outbound

This paper cites Improved IDS for Vehicular Ad-Hoc Network using Deep Learning Approaches,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Improved IDS for Vehicular Ad-Hoc Network using Deep Learning Approaches,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.079894Z digest=sha256:cdd0289887879e57cd649544a3737d94355aad5435e81e019c6c6e75cd9fd8ac

Observation b45c8c51-3a65-469f-9d16-2cadd6b24cde · outbound

This paper cites Auto- Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Auto- Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.085800Z digest=sha256:ce8ac3057adaeda4c3e21c1e729a010ca84fdf8eae97a15f2eb6f8b70313d0d6

Observation a3f3e432-f37a-46ac-8d0f-093fd3d26a82 · outbound

This paper cites From Signatures to Behavior: Evolving Strategies for Next- Generation Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs From Signatures to Behavior: Evolving Strategies for Next- Generation Intrusion Detection,

Reference 28

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raw_fallback, observed 2026-08-15T17:47:18.790953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.097124Z digest=sha256:4115e600723c2f65b2c3a452d04add0df177d54abbb51a86033169d7b6468127

Observation 5aa1c20a-5157-4dfb-8203-7370a16faef0 · outbound

This paper cites Outside the Closed World: On Using Machine Learning for Network Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Outside the Closed World: On Using Machine Learning for Network Intrusion Detection,

Reference 29

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raw_fallback, observed 2026-08-15T17:47:18.760122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.103140Z digest=sha256:c290c8fbba00ea30345023b1b12bc9279331abdee6039853774a1cd855ad8c8c

Observation 03ac53c2-3601-4d01-b859-141157b0f0fb · outbound

This paper cites Network Intrusion Detection System: A Systematic Study of Machine Learning and Deep Learning Approaches,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Network Intrusion Detection System: A Systematic Study of Machine Learning and Deep Learning Approaches,

Reference 30

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raw_fallback, observed 2026-08-15T17:47:18.735368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.108504Z digest=sha256:8d5187810d675f282c18da25a5754d5cd8933b843d54cec043308924d05f682b

Observation 82dd54a6-1b03-4a29-9899-dbee5ad9fa00 · outbound

This paper cites A Systematic Literature Review for Network Intrusion Detection System (IDS),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Systematic Literature Review for Network Intrusion Detection System (IDS),

Reference 31

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raw_fallback, observed 2026-08-15T17:47:18.706824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.115663Z digest=sha256:03ff0333ef261c6c28ed8d40e70c80142aecdfff7fd3744f8855ae80e7291db4

Observation cff252e8-293c-4a25-be27-ae9c6ce983ec · outbound

This paper cites Deep Learning-based Intrusion Detection Systems: A Survey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning-based Intrusion Detection Systems: A Survey,

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.124324Z digest=sha256:f120d53d883791e75b6f8f5b48adc08b25bcb112169dea580117dd91d6a4ef0a

Observation ebb0c03b-ec61-4e04-b0ad-0451ca4acd9e · outbound

This paper cites Survey on Federated Learning for Intrusion Detection System: Concept, Architec- tures, Aggregation Strategies, Challenges, and Future Directions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Survey on Federated Learning for Intrusion Detection System: Concept, Architec- tures, Aggregation Strategies, Challenges, and Future Directions,

Reference 33

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raw_fallback, observed 2026-08-15T17:47:18.679234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.132795Z digest=sha256:f10ba0de1c2cba4fef0b47af0c31dca1be8522ccb588e99b4d55eaf8dac9656d

Observation 6d9ae9d7-b86f-4177-82b7-762db018fd7d · outbound

This paper cites Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.650413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.139081Z digest=sha256:f5f62d391be5f92e0d4f9d71af980015bc62fb147379f7e83ec41e8ecd92760f

Observation d38ee720-fe5d-4e91-b6c9-d59ce6e9d1a4 · outbound

This paper cites Deep Learning Advancements in Anomaly Detection: A Comprehensive Sur- vey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning Advancements in Anomaly Detection: A Comprehensive Sur- vey,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.629172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.150880Z digest=sha256:e36bb28f6d78709a1adfbde8cf88047d974fdee8ea4147daa06306536d024904

Observation 879df1e1-d239-4f05-b810-0dbc6a222378 · outbound

This paper cites Deep Learning with Long Short-Term Memory for Time Series Prediction,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning with Long Short-Term Memory for Time Series Prediction,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.608738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.156578Z digest=sha256:33165effd3e0ea98dc719d5155f2fd2ef50b0d63ec43d1c3194a1768f219c496

Observation 43089e5d-2a3c-4a14-b0be-bc57912866b5 · outbound

This paper cites An optimized LSTM-based Deep Learning Model for Anomaly Network Intrusion Detection,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs An optimized LSTM-based Deep Learning Model for Anomaly Network Intrusion Detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.588245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.164808Z digest=sha256:f84f1cc88109d64979361f41b2e683b64657a25ced008dae629630f14223a5f7

Observation 3e7ac11c-8937-4fee-8fd6-213c12c39164 · outbound

This paper cites Attention- Based Deep Learning Frameworks for Network Intrusion Detection: An Empirical Study,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Attention- Based Deep Learning Frameworks for Network Intrusion Detection: An Empirical Study,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.548073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.171105Z digest=sha256:53348dbd48e97dedd3690783f3427b5a430fba45edbc3451e1d5f06f77e83896

Observation 0621be87-4e5f-40db-8d2d-5a4189fe8ec8 · outbound

This paper cites Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Network Intrusion Detection Method Based on CNN-BiLSTM-Attention Model,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.518309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.177151Z digest=sha256:0dcb7f9595440b207559f6da8e592cac1299e9d255edd9cb852959f95d64ba03

Observation d7602fdc-fa01-4be2-a243-9eb846ec821c · outbound

This paper cites A Temporal Convolutional Network-Based Approach for Network Intrusion Detec- tion,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Temporal Convolutional Network-Based Approach for Network Intrusion Detec- tion,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.483875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.185792Z digest=sha256:36fb9af9b1a0f3f688461589ccedfb63dee41a3235c34c13c00ee2532529df1f

Observation ab912518-9473-4a4d-aa26-87559796c4fc · outbound

This paper cites FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.446864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.192519Z digest=sha256:415f8acea96e4e9564becd66d3d4e36bab5602c1ddcf520844e130547202ffff

Observation d7cf1dbe-d8b5-42c3-b2a7-0571b3d04087 · outbound

This paper cites Real-time Network Intrusion Detection via Decision Transformers.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Real-time Network Intrusion Detection via Decision Transformers

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.199562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.199562Z digest=sha256:52ca092171cb858f6d379fe7f1fcf3312655f2e1a84c8136a8088b4044701b27

Observation ef6b8bc1-cae3-447a-8f61-1632e5e2ca76 · outbound

This paper cites Open RAN Security: Challenges and opportunities,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Open RAN Security: Challenges and opportunities,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.421229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.205982Z digest=sha256:917636c555d9bbf90dd497b3142322d3ff6b8069019b666c48d3364b00dbf933

Observation ca07fb6e-a5bd-4b46-9950-86f5f5b69ac5 · outbound

This paper cites Intrusion Detection in 5G and Wi-Fi Networks: A Survey of Current Methods, Challenges, and Perspectives,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intrusion Detection in 5G and Wi-Fi Networks: A Survey of Current Methods, Challenges, and Perspectives,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.400088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.212519Z digest=sha256:3e6c2fdf8fbb7e5ac47a59249bdfdf84b7dfd62c410050aed29d91573e79f276

Observation 54e45279-e988-4f5a-9c68-f56ee581c46e · outbound

This paper cites A Survey for Intrusion Detection Systems in Open RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Survey for Intrusion Detection Systems in Open RAN,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.373184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.219447Z digest=sha256:1a2d165eff0f7b27adb4298f8e4dbe116ac857f4b1d42260dcb42e84a9670625

Observation a536f7df-0a00-49d6-9cd0-4e325d39c392 · outbound

This paper cites Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.345366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.229174Z digest=sha256:06bbf9d374622a49fcd0fce743ef2e63ac7484bc65570ddb7052ee2e41cc1883

Observation 7310fe8b-715b-418c-b5db-d13859c5f9a1 · outbound

This paper cites An Efficient Intrusion Detection Solution for Near-Real-Time Open- RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs An Efficient Intrusion Detection Solution for Near-Real-Time Open- RAN,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.325433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.236463Z digest=sha256:b4808ec3a68b3f4c13af269d88bf2eadc6ef44a7e1fa04487f87cc6de869af54

Observation c0efe415-0353-4aee-94ac-2321a0514b0a · outbound

This paper cites Advancing O-RAN Security: Integrated Intrusion Detection and Secure Slicing xApps,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Advancing O-RAN Security: Integrated Intrusion Detection and Secure Slicing xApps,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.302093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.243140Z digest=sha256:f3e2685733eb37ff8b21ba36767c7d7e25a04688a2859dd0ccd74d509c91f499

Observation 31efa948-b540-4591-8c45-d51f122b4d2d · outbound

This paper cites DDoS Detection and Mitigation Using d/xApp in O-RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs DDoS Detection and Mitigation Using d/xApp in O-RAN,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.279378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.247682Z digest=sha256:7882f92aa672c9ee73b3ac9fde9625e27d6c2aa99b57a520348d0b75d6321696

Observation 49fba6cd-d923-46cf-85b5-336331161812 · outbound

This paper cites Anomaly Detection for Mitigating xApp and E2 Interface Threats in O-RAN Near-RT RIC,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Anomaly Detection for Mitigating xApp and E2 Interface Threats in O-RAN Near-RT RIC,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.253473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.253031Z digest=sha256:ef448332a55890e60ca5b33887d83caba3ff53d0178300a1392a5824874de5dd

Observation 951b0518-1cdf-45fc-bbb7-c276491f8871 · outbound

This paper cites Peer- to-Peer Federated Learning Based Anomaly Detection for Open Radio Access Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Peer- to-Peer Federated Learning Based Anomaly Detection for Open Radio Access Networks,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.223643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.260586Z digest=sha256:cf045f2212f9c9a78061999e17a24fb7d6498a5a93d5daeb072efa66f5ebc2af

Observation 78adcda6-8561-4924-a077-0a6e18e79ba7 · outbound

This paper cites Federated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Federated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.197323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.265514Z digest=sha256:707fad5fe2cd92201c637c8136a597271150d773b13b0a4529ba943a8a82d706

Observation 967d5398-0d7e-4d5e-8d20-a6e353ad0205 · outbound

This paper cites DDoS Attack Detection Using Unsuper- vised Federated Learning for 5G Networks and Beyond,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs DDoS Attack Detection Using Unsuper- vised Federated Learning for 5G Networks and Beyond,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.165597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.271603Z digest=sha256:ad92133836a9e73b8e6eaf1850201e60d18d1c5b50ad086917ffe4e49602649d

Observation ad025f7f-25b6-4a7a-945a-9d4566ef18b3 · outbound

This paper cites SENTINEL: Self Protecting 5G Core Control Plane from DDoS Attacks for High Availability Service,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs SENTINEL: Self Protecting 5G Core Control Plane from DDoS Attacks for High Availability Service,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.135748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.280678Z digest=sha256:2f07f052ca6c4ce8ed6fd8cea5ed098d31680790e15dfb09c01217b9e2049699

Observation 8f5794a6-54be-4f12-a2fb-c13417fb8fd5 · outbound

This paper cites Deep Learning-based DDoS- Attack Detection for Cyber–Physical System over 5G Network,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Deep Learning-based DDoS- Attack Detection for Cyber–Physical System over 5G Network,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.109267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.293373Z digest=sha256:f132980ba2abb6a0ea27bf6e003e487bb2bd8061c2cb0c524aa7ff1c43187597

Observation 87784fcf-e973-4327-bf6a-471fe0ffbe1e · outbound

This paper cites DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approach,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs DeepSecure: Detection of Distributed Denial of Service Attacks on 5G Network Slicing—Deep Learning Approach,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.077100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.307455Z digest=sha256:b08029419c9c4a627c704d5a3798b32b0f20fc14d83b7823e776417cc6156855

Observation 2e46faf3-ca4e-475e-9b2d-a3b699f08332 · outbound

This paper cites LSTM-Based Anomaly Detection of PFCP Signaling Attacks in 5G Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs LSTM-Based Anomaly Detection of PFCP Signaling Attacks in 5G Networks,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.047020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.313643Z digest=sha256:b8b1181275493f1c647d8e8c696f997b59b2af278d6cb59c1c274764ec35046c

Observation 3b10566b-db75-4238-8129-31ec4681bc2c · outbound

This paper cites Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Early Network Intrusion Detection Enabled by Attention Mechanisms and RNNs,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:18.019488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.320673Z digest=sha256:57581ac63d3ff7c9f145283057669e5d9305ae7d31253fcd807e2d5ab6bb615d

Observation 0174aae7-a7e3-43ca-8b66-32c294633a4d · outbound

This paper cites Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.988931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.329968Z digest=sha256:462c65959bd548c3cf860cc3ae18f16079eed030196cc1cb7274ed1278e7dea2

Observation 0f046729-0d8f-4487-b4c9-2113ecb1b396 · outbound

This paper cites A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.965883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.335667Z digest=sha256:46b7d102738102c183eda0b72b55049238627440c454cf1daa4a80b5349aed7c

Observation 7c501911-3654-4ae0-8f4f-dc54107b980b · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.938270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.342359Z digest=sha256:aae9a4e4bf4023b9e7281315ec9e692a4eb832ddbe84a70271d3d36c811f649a

Observation 85c25ab8-b448-4995-96ed-7ff1badecd1d · outbound

This paper cites Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.920083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.349969Z digest=sha256:6844ae943f50153f6063f62a748ca9949ddfb005a4807e9e6b6af305564a856b

Observation 7c1233c3-5d66-49a0-bd05-fc5f60cea649 · outbound

This paper cites Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Generative AI in Cybersecurity: A Comprehensive Review of LLM Applications and Vulnerabilities

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.357985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.357985Z digest=sha256:21a0e8b085d53e90f8061dffe067df434d95422f12df0a292f9b17e3ec5bda30

Observation 28fa16e8-d584-41f5-8a17-2d91b60764f9 · outbound

This paper cites Large Language Models for Cyber Security: A Systematic Literature Review,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Models for Cyber Security: A Systematic Literature Review,

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.366265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.366265Z digest=sha256:37c3936d1eaefe69eb0e3a6369119c3a4381baee6b57fc606f5204bc0dd09ea9

Observation 7c14253a-0a2a-4c66-b64e-3164c3b51834 · outbound

This paper cites Advancing Cyber- security with LLMs: A Comprehensive Review of Intrusion Detection Systems and Emerging Applications,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Advancing Cyber- security with LLMs: A Comprehensive Review of Intrusion Detection Systems and Emerging Applications,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.900217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.376255Z digest=sha256:3de0aa399357737c596729bc94bf48c256baa464fedd73040ca32992ab6957db

Observation 63dbafa9-d8e3-46e6-a0bd-6d7905fe3e58 · outbound

This paper cites Robust Network Intrusion Detection Through Explainable Artificial Intelligence (XAI),.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Robust Network Intrusion Detection Through Explainable Artificial Intelligence (XAI),

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.870222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.382659Z digest=sha256:9af329c60924c8faf1f5efec4cf807fb3be6eb856c4377e7f0c63fdfd6533a99

Observation 940be4da-b7a4-4a20-bcca-a81e61a72eb6 · outbound

This paper cites XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly Detection

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-15T17:47:17.167379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.391195Z digest=sha256:ecf4cb4584f5d5ab8b119bdd1bf69d54cceb0ed7d83fef75cd0e2e833d9b3ee5

Observation b8db3373-c94b-4407-b9f9-bf38dc481b09 · outbound

This paper cites RAN Explainable Anomaly Prediction for 6G Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs RAN Explainable Anomaly Prediction for 6G Networks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.840413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.400290Z digest=sha256:0a9bf5ec6ccc82178d55b3ac9bda4be8f82bd99ed4c528c70929b8615e2be766

Observation 2177139d-b8cb-4c68-9f5b-6de96f17665b · outbound

This paper cites SpotLight: Accurate, Explainable and Efficient Anomaly Detection for Open RAN,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs SpotLight: Accurate, Explainable and Efficient Anomaly Detection for Open RAN,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.809764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.406415Z digest=sha256:2449153c355c8414d8f4e96417e1cd6d09389b3f8644f20ec43b5fe70be91f0d

Observation 2a7546bb-2624-4a52-8f0f-f1dcd3d34d91 · outbound

This paper cites Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems using Decision Tree Model,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems using Decision Tree Model,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.777444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.413483Z digest=sha256:7c1a4a2e3b16a935d382aaaef7daa5ed4cd8cfb8bf4a56e34f87072c364b88f0

Observation 38db5355-ea3a-4b52-a797-9e8f0db5803b · outbound

This paper cites Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.747974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.425107Z digest=sha256:d1ced72a64f8367fccb1ca2f84da5b40abf87addea6c8cb0d14bba74e55027af

Observation 69ab1ee9-700f-4fa0-9717-98413ccf9524 · outbound

This paper cites Explainable AI and Random Forest based Reliable Intrusion Detection System,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Explainable AI and Random Forest based Reliable Intrusion Detection System,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.725738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.435911Z digest=sha256:da51a089143fc3b035ff1507bb0f10ab944e85204bff882513e4a2178b886e02

Observation e7e627d5-3115-4f2f-bc52-0c700925a929 · outbound

This paper cites Harnessing the Advanced Capabilities of LLM for Adaptive Intrusion Detection Systems,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Harnessing the Advanced Capabilities of LLM for Adaptive Intrusion Detection Systems,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.703291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.454518Z digest=sha256:d63af424c677d8a7233df51d9646a7d226351c830b9cfee3ec303d3fc942d01d

Observation 8a2b015a-0efc-4359-be4d-38d978e98689 · outbound

This paper cites Finetuning Large Language Models for Vulnerability Detection.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Finetuning Large Language Models for Vulnerability Detection

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.497645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.497645Z digest=sha256:0ed946a068ab3374971d85c56e734686e26f27211cd73166897a908edaa689be

Observation db43ac8b-0fce-4e02-a5bc-3124b5602c3d · outbound

This paper cites Intrusion Detection Technology Based on Large Language Models,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Intrusion Detection Technology Based on Large Language Models,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.673806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.536119Z digest=sha256:5257b09e8b08e8999569861690a651f932e994a91dbee80e80d88c338acfe8b2

Observation 50f9cca4-3dd8-41a8-9c06-ecaa2d9350f1 · outbound

This paper cites Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.571341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.571341Z digest=sha256:0b17b1c98bb18e488fcd4d0ef1a5de0e3bc14df8ef05d6fd0fa52ad31a917867

Observation c2b61d58-efd0-4f48-962c-f2553b4abd9e · outbound

This paper cites Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.592929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.592929Z digest=sha256:fd4f35b73789143a38c6e4a62925b3bb9c49352b8727d8381475e765bd6cbe54

Observation 7757abe6-3e8c-4dd5-91b9-f7d53a6363c0 · outbound

This paper cites Reasoning Beyond Limits: Advances and Open Problems for LLMs,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Reasoning Beyond Limits: Advances and Open Problems for LLMs,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.600482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.600482Z digest=sha256:25b53c089ba3ef043925e9dc624ef0d9220d39336e4843d66cb2fb87999f60b3

Observation 578c686c-89eb-4a07-8626-254a0acff0a4 · outbound

This paper cites 6G-XSec: Explainable Edge Security for Emerging OpenRAN Archi- tectures,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs 6G-XSec: Explainable Edge Security for Emerging OpenRAN Archi- tectures,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.647578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.607504Z digest=sha256:8473e46add1ae1815022afc58ac9bca2e492bdf3d53f14424ae3654d986a7e8b

Observation 9ac9f953-1090-4746-b8cd-dfcfc9bba812 · outbound

This paper cites XAI for All: Can Large Language Models Simplify Explainable AI?.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs XAI for All: Can Large Language Models Simplify Explainable AI?

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.614537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.614537Z digest=sha256:e5b87bf5e10db55e691f8bd7f5c8413d00401e871240e7edb023c786eaec44fe

Observation b0420d66-d5da-4efc-a46b-8a506c39c0be · outbound

This paper cites HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs).

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.625098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.625098Z digest=sha256:adae133834cffa7d6910026516587e7988efd5ebaa522e36797f912bd6fef0b4

Observation 4c5ef2f6-2125-4a86-8bbe-64276af03586 · outbound

This paper cites Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.631324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.631324Z digest=sha256:1b901d662beeea0d19ed878d2491cbfbb9711955e16e7ce048fb5505bd07a30b

Observation d00e3bd3-7610-4f11-8ff6-2ac00332221a · outbound

This paper cites ChatIDS: Explainable Cybersecurity Using Generative AI.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs ChatIDS: Explainable Cybersecurity Using Generative AI

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.638779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.638779Z digest=sha256:b4bac5a8dcbaff5213a74e6ecfa5f0d97e88ed7b292dde37712632ae0665787e

Observation 140851a3-f347-46a7-ab84-66874ed673ec · outbound

This paper cites A Unified Approach to Interpreting Model Predictions,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs A Unified Approach to Interpreting Model Predictions,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.608295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.646736Z digest=sha256:26440cd2421e3c95cd7045204f50834551f73b2afad183c8c6c3a9d66a2dbecc

Observation 9da6c174-56ea-4dc2-864a-69b604438b5b · outbound

This paper cites ”Why Should I Trust You?.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs ”Why Should I Trust You?

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.580279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.668252Z digest=sha256:285c7b01bc0f6e2bd2e6489bade1dffafa95ab4a6d71ed48ea8fd88e8c054653

Observation 42ec309a-8718-44c4-971e-d9d60ddef10f · outbound

This paper cites Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective,

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T17:47:16.674726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:47:16.674726Z digest=sha256:40cbf1b057d61a32619420f0a7b5978cf2e8afa6e5c9a6aa4d51404230f291cc

Observation 20e6af33-0649-46b0-821c-5bddff76f708 · outbound

This paper cites Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.533443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.684667Z digest=sha256:86461dc7b5ce5c849d397b61becc22b4f84c89bbae4688940f7899b4ee70d272

Observation c37165d0-b1cb-4a0c-b1a5-87f52406132f · outbound

This paper cites NCSRD-DS-5GDDoS: 5G Radio and Core metrics containing sporadic DDoS attacks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs NCSRD-DS-5GDDoS: 5G Radio and Core metrics containing sporadic DDoS attacks,

Reference 88

Resolution
verified exact
doi, observed 2026-08-15T17:47:16.779618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.690691Z digest=sha256:c2da278ffa29a351202e08a48896ccaa2ad9cb92c2cd3373b60e48c3c8e7c718

Observation 23987ee1-d3cc-43f1-9fa5-347d4a8ab856 · outbound

This paper cites User Terminals as Attackers: An Open Dataset Analysis of DDoS Attacks in 5G Networks,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs User Terminals as Attackers: An Open Dataset Analysis of DDoS Attacks in 5G Networks,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.508570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.699051Z digest=sha256:90798210a8a6aeee00ec11c53d2adc00b5c09b2e6b88b5deb81ee494e4ab5400

Observation 0b7390e7-81ef-4668-8ef4-fd3fc6f40ad0 · outbound

This paper cites Advancing Predictive Security for Con- sumer Applications in Beyond 5G/6G Networks With Annotated Datasets,.

Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs Advancing Predictive Security for Con- sumer Applications in Beyond 5G/6G Networks With Annotated Datasets,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:47:17.481673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T17:47:16.705449Z digest=sha256:4f1feff2a396597ed74721d618e2771ad3443fa9eacae33764add965be47fa18

Pith citing papers

Observation 8c66491f-1d4a-49b4-8fd2-c5e09696c347 · inbound

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations cites this paper.

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations Interpretable Anomaly-Based DDoS Detection in AI-RAN with XAI and LLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T00:34:16.763747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:34:16.763747Z digest=sha256:b0d9ea0dbfc6ab741980dbc17192ffb0785a4bc49338b6d180cee9ee9d9d3dc5